Case-based risk analysis model for rainstorm inundation in metro systems based on a bayesian network
Author:
Funder
China National Institute of Standardization
Fundamental Research Funds for the Central Business Unit
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00477-024-02737-9.pdf
Reference34 articles.
1. Aoki Y, Yoshizawa A, Taminato T (2016) Anti-inundation measures for underground stations of Tokyo metro. Procedia Eng 165:2–10. https://doi.org/10.1016/j.proeng.2016.11.730
2. Banuls VA, Turoff M, Hiltz SR (2013) Collaborative scenario modeling in emergency management through cross-impact. Technol Forecast Soc Change 80(9):1756–1774. https://doi.org/10.1016/j.techfore.2012.11.007
3. China Urban Rail Transit Association (2022) 2021 annual statistical and analysis report of urban rail transit. www.camet.org.cn/tjxx/9944. Accessed 6 February 2023
4. Forero-Ortiz E, Martínez-Gomariz E, Porcuna MC, Locatelli L, Russo B (2020) Flood risk assessment in an underground railway system under the impact of climate change—a case study of the Barcelona metro. Sustainability 12:5291. https://doi.org/10.3390/su12135291
5. Gao L, Zhang L, Li X, Zhou S (2019) Evaluating metropolitan flood coping capabilities under heavy storms. J Hydrol Eng 24:05019011. https://doi.org/10.1061/(asce)he.1943-5584.0001793
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